Dynamic modeling and behavior of the Confederation Bridge
Bibliographic record
Abstract
The Confederation Bridge is the world longest spanned prestressed concrete box girder bridge standing in salt water. This bridge is subjected to severe dynamic loads, such as transverse loads and vibrations, induced by strong winds and stormy sea waves, destructive seismic loads from possible ground shaking, and impact loads from heavy vehicles and huge ice floe. Therefore, the dynamic behavior of the bridge is a very important factor affecting its safety and serviceability. In the present study, a three-dimensional (3-D) model using shell elements is developed to investigate the free vibration behavior of one repetitive unit, while a frame model using 3-D beam elements is employed to simulate dynamic responses of two repetitive units with a drop-in span. The effects of nonstructural mass, pier–water interaction and foundation flexibility on free vibration behavior are also studied by means of the frame model. The results are representative for the entire bridge because of the repetitiveness in the bridge configuration. Further, field data from pull tests are used to calibrate the finite element models. Computer simulation of the pull test using the calibrated frame model correlates reasonably well with the field data.Key words: Confederation Bridge, numerical modeling, finite element model, model calibration, pull test, computer simulation.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".